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Table 1 Point estimators for the heterogeneity parameter

From: Heterogeneity estimation in meta-analysis of standardized mean differences when the distribution of random effects departs from normal: A Monte Carlo simulation study

Point estimator for\({{\varvec{\tau}}}^{2}\)

 

Author (year)

Computation

Range

Assume

normality

Estimation method

Cochran (Hedges-Olkin)

CA

Cochran (1954) [10]

Direct

Non-negative

No

Method of the moments

Mandel-Paule

MP

Mandel & Paule (1970/82) [11, 12]

Iterative

Non-negative

No

Method of the moments

DerSimonian-Laird

DL

DerSimonian & Laird (1986) [13]

Direct

Non-negative

No

Method of the moments

Hartung-Makambi

HM

Hartung & Makambi (2002) [14]

Direct

Positive

No

Method of the moments

Two-step Cochran

CA2

DerSimonian & Kacker (2007) [15]

Direct

Non-negative

No

Method of the moments

Two-step DerSimonian-Laird

DL2

DerSimonian & Kacker (2007) [15]

Direct

Non-negative

No

Method of the moments

Positive DerSimonian-Laird

DLp

Kontopantelis et al. (2013) [16]

Direct

Positive

No

Method of the moments

Lin-Chu-Hodges r

LCHr

Lin et al. (2017) [17]

Iterative

Non-negative

No

Method of the moments

Lin-Chu-Hodges m

LCHm

Lin et al. (2017) [17]

Iterative

Non-negative

No

Method of the moments

Multistep DerSimonian-Laird

DLm

vanAert & Jackson (2018) [18]

Direct

Non-negative

No

Method of the moments

Median-unbiased Mandel-Paule

MPM

Viechtbauer (2021) [19]

Iterative

Non-negative

No

Method of the moments

Median-unbiased Gen. Q

GENQM

Viechtbauer (2021) [19]

Iterative

Non-negative

No

Method of the moments

Maximum likelihood

ML

Hardy & Thompson (1996) [20]

Iterative

Non-negative

Yes

Maximum likelihood

Restricted maximum likelihood

REML

Viechtbauer (2005) [21]

Iterative

Non-negative

Yes

Maximum likelihood

Sidik-Jonkman

SJ

Sidik & Jonkman (2005) [22]

Direct

Non-negative

Yes

Least squares

Sidik-Jonkman (prior CA estimation)

SJ(CA)

Sidik & Jonkman (2007) [23]

Direct

Positive

Yes

Least squares

Non-parametric bootstrap DerSimonian-Laird

DLb

Kontopantelis et al. (2013) [16]

Direct

Non-negative

No

Non-parametric

Malzahn-Böhning-Holling

MBH

Malzahn et al. (2000) [24]

Direct

Non-negative

No

Non-parametric

Hunter-Schmidt (weighted by inversed variance)

HSiv

Hunter & Schmidt (1990) [25]

Direct

Non-negative

No

Artifact correction

Hunter-Schmidt (weighted by sample size)

HSss

Hunter & Schmidt (1990) [25]

Direct

Non-negative

No

Artifact correction

Hunter-Schmidt (corrected by small sample size)

HSk

Morris et al. (2015) [33]

Direct

Non-negative

No

Artifact correction

Fully Bayesian

FB

Smith et al. (1995) [26]

Iterative

Non-negative

Yes

Bayesian

Rukhin Bayes

RB

Rukhin (2013) [27]

Direct

Non-negative

No

Bayesian

Rukhin Bayes positive

RBp

Rukhin (2013) [27]

Direct

Positive

No

Bayesian

Bayes Modal

BM

Chung et al. (2013a, 2013b) [28, 29]

Iterative

Positive

Yes

Bayesian

  1. Heterogeneity point estimators included in the present study, their abbreviation, authors and year of publication, type of calculation required to obtain the corresponding estimate, the range of real values for the\({\tau }^{2}\)estimates obtained, whether they assume or not normality assumptions regarding the random-effects distribution, and the underlying estimation method they are based on